Tale of Visualizing with QuickSight - S4 E12

Overview

Dive into creating visual analytics by building an Amazon QuickSight Dashboard with Athena data access, and learn to automate visualization using Amazon Q.

Syllabus

• Introduction to Amazon QuickSight
Overview of QuickSight functionalities
Benefits of using QuickSight for visualization
QuickSight user interface walkthrough
• Accessing Data with Amazon Athena
Introduction to Amazon Athena
Connecting QuickSight to Athena
Importing and preparing data from Athena for visualization
• Building Visual Analytics in QuickSight
Creating datasets in QuickSight
Exploring QuickSight visualization types (charts, tables, maps)
Designing your first dashboard
Implementing calculated fields and filters in dashboards
• Creating Interactive Dashboards
Adding interactive elements (filters, controls)
Customizing dashboard layout and design
Best practices for dashboard performance and responsiveness
• Automating Visualizations with Amazon QuickSight
Using the Amazon QuickSight API for automation
Scheduling data refreshes and report delivery
Automating alerts and notifications based on data triggers
• Advanced Features in QuickSight
Using QuickSight ML Insights for predictive analytics
Leveraging SPICE for faster data processing
Integrating QuickSight with other AWS services
• Case Study: Building a Real-Time Dashboard
Step-by-step guide to integrating QuickSight with real-time data sources
Deploying a real-time analytics solution
• Conclusion and Next Steps
Recap of key concepts learned
Resources for continued learning and exploration of Amazon QuickSight
Course evaluation and feedback session

Subjects

Programming